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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Increasing Classification Accuracy in libSVM Using String Kernel Functions
 Homoliak, Ivan ; Drozd, Michal (referee) ; Michlovský, Zbyněk (advisor)
Publication aims to explore dependencies of text classification used with string kernel functions. String kernel functions are here used to retrieve rate of similarity between two text strings. There are described experiments with single string kernel function and also experiments with combinations of them with arithmetic operations of adition and multiplication. Gathered results are aplied to detect spam messages of e-mail communication.
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